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Biometric Technologies for Ambient Intelligence and Smart Living Vincenzo Piuri University of Milan, Italy 2014 IEEE Vice President-elect for Technical Activities Obuda University 2014

Summary Biometric Traits Biometrics for Ambient Intelligence and Smart Living Design Issues for Biometric Systems 1

Biometric Traits 2

Biometrics Automated methods of recognizing a person or a class of persons based on physiological or behavioral characteristics 3

Fingerprint Physiological Traits Face Iris Palmprint Palm geometry Ear shape Hand veins 4

Behavioral Traits Signature & Handwritten text Gait Emotion Keystroke Gesture Age & Gender 5

Properties of Biometric Traits (1) Universality: each person must have the considered trait Distinctiveness (Uniqueness): the considered trait must allow for distinguishing any two persons Permanence: the considered trait must be time invariant Collectability (Measurability): the considered trait must be easily measurable Performance: the identification accuracy, speed, and robustness must be appropriate and ensured without specific operating conditions Acceptability: percentage of persons who could accept the use of the considered biometric technology Resistance to circumvention: difficulty in circumventing the identification procedure 6

Properties of Biometric Traits (2) Biometrics Face High Low Medium High Low High Low Fingerprint Medium High High Medium High Medium High Hand Geometry Medium Medium Medium High Medium Medium Medium Keystrokes Low Low Low Medium Low Medium Medium Hand Vein Medium Medium Medium Medium Medium Medium High Iris High High High Medium High Low High Retinal Scan High High Medium Low High Low High Signature Low Low Low High Low High Low Voice Print Medium Low Low Medium Low High Low F.Thermograms High High Low High Medium high High Odor High High High Low Low Medium Low DNA High High High Low High Low Low Gait Medium Low Low High Low High Medium Ear Medium medium High medium Medium High Medium Universality Uniqueness Permanence Collectability Performance Acceptability Circumvention 7

Biometric Applications for Ambient Intelligence and Smart Living 8

Adaptativity through Identification Person identification for assigning known needs, preferences, and desires for recording new needs, preferences and desires for future use Person classification for applying known characteristics of a class of persons for services and operations for refining the characteristic services and operations of the class of persons Person action understanding for applying services and operations to a human action 9

Biometrics vs. Classical Identification From something you have (token, key) or something you know (password) to something you are Security level Something you are Something you have Something you know Identification method 10

Physical Access Control Critical areas Restricted areas Private areas Public buildings Sports arenas Bank caveau Transportations 11

Surveillance Buildings Public areas 12

Logical Access Control to Services Home banking, ATM Supermarkets E-commerce Cellular phones Computers 13

Smart Home 14

Personal Hygiene 15

Kitchen and Restaurants 16

Smart Entertainement Systems 17

Children Protection 18

Smart Cars 19

Smart Transportation Systems 20

Intelligent Traffic Management 21

Rental Services 22

Intelligent Shops 23

Information Kiosks and Augmented Reality 24

Ticket Offices and Entrance Gates 25

Museums and Exhibitions 26

Health Care and Hospitals 27

Health Services 28

Design Issues 29

Technologies for Biometric Systems (1) Sensors and measurement systems Biometric sensors, liveness Signal processing Feature extraction, liveness tests Image processing Face, fingerprint, hand, iris, gait, ear, 30

Technologies for Biometric Systems (2) Sensor data fusion Matching module, multimodal biometric systems Classification and clustering Characterization for template management and searching 31

Technologies for Biometric Systems (3) Database management Organization of very-large DB of biomeric templates (national identification systems, large scale identification systems) Systems and database networking Distributed biometric systems, communications, interoperabliity Security and privacy Protection of biometric data 32

How to Deal with Heterogeneous Aspects? Nowadays: Separate issues Module-oriented solutions Ad-hoc solutions Limited optimization Limited reusability Limited integrability Limited interoperability 33

A Comprehensive Design Methodology Sensor Fusion Sensor Processing Signal Processing Data Analysis Image Processing Feature Extractio n Classificatio n System Modeling Biometric System 34

Biometric Systems Evaluation Social Acceptance Usability Speed High 10000 Medium Cost 99.9999 99.99 High Accuracy 100 99.0 1 20 100 10000 Simple Zero 1 type 6 types Complex 100 Medium 10000 Medium High Scalability Interoperability Security Privacy 35

Biometrics Opportunities for an effective, efficient, privacy-aware use of biometric traits to support adaptivity and intelligent solutions for Ambient Intelligence and Smart Living! 36

37

References (1) Introduction S. Z. Li, A. K. Jain, Encyclopedia of Biometrics, Springer Publishing Company, Incorporated, 2009. M.Tistarelli, S. Z. Li, R.Chellappa, Handbook of Remote Biometrics: For Surveillance and Securit,Springer Publishing Company, Incorporated, 2009. N. V. Boulgouris, K. N. Plataniotis, E. Micheli-Tzanakou, Biometrics: Theory, Methods, and Applications, IEEE Computer Society Press, 2009. A. K. Jain, P. Flynn, A. Ross, Handbook of Biometrics, Springer -Verlag New York, Incorporated, 2007. 38

Fingerprint References (2) D. Maltoni, D. Maio, A. K. Jain, S. Prabhakar, Handbook of Fingerprint Recognition, 2nd ed., Springer Publishing Company, Incorporated, 2009. D. Maltoni,"Fingerprint Recognition, Overview", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 510 513, 2009. V. Piuri, and F. Scotti, "Fingerprint Biometrics via Low-cost Sensors and Webcams", in Biometrics: Theory, Applications and Systems, 2008. BTAS 2008. 2nd IEEE International Conference on, pp. 1-6, October 2008. N. Yager, A. Amin, "Fingerprint verification based on minutiae features: a review", Pattern Analysis & Applications, Springer London, vol. 7, pp. 94-113, 2004. P. Komarinski, Automated fingerprint identification systems (AFIS), Elsevier Academic, Amsterdam, 2005. N.K. Ratha, R.M.Bolle, Automatic Fingerprint Recognition Systems, Springer-Verlag, 2003. R. DonidaLabati, V. Piuri, and F. Scotti, "A neural-based minutiae pair identification method for touchlessfingeprint images", in IEEE Symposium Series in Computational Intelligence 2011 (SSCI 2011), April 2011. R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, "Touchless Fingerprint Biometrics: a Survey on 2D and 3D Technologies", in Journal of Internet Technology, 2014 R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, "Accurate 3D Fingerprint Virtual Environment for Biometric Technology Evaluations and Experiment Design", in Proc. of the 2013 IEEE Int. Conf. on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA 2013), Milan, Italy, pp. 43-48, July 15-17, 2013 R. Donida Labati, A. Genovese, V. Piuri, F. Scotti, "Contactless Fingerprint Recognition: a Neural Approach for Perspective and Rotation Effects Reduction", in Proc. of the IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM), Singapore, Singapore, pp. 22-30, April 16-19, 2013 R. DonidaLabati, V. Piuri, F. Scotti, "Measurement of the principal singular point in fingerprint images: a neural approach", in 2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA), pp. 18-23, September 6-8, 2010. 39

Fingerprint (cont d) References (3) R. DonidaLabati, V. Piuri, F. Scotti, "Neural-based Quality Measurement of Fingerprint Images in Contactless Biometric Systems", in The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1 8, July 18-23, 2010. M. Gamassi, V. Piuri, and F. Scotti, "Fingerprint local analysis for high-performance minutiae extraction", in IEEE International Conference on Image Processing, 2005 (ICIP 2005), pp. III - 265-8, September, 2005 R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Two-view Contactless Fingerprint Acquisition Systems: a Case Study for Clay Artworks", in 2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, 2012 R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Virtual Environment for 3-D Synthetic Fingerprints", 2012 IEEE International Conference on Virtual Environments, Human- Computer Interfaces and Measurement Systems, pp. 48-53, 2012 R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Quality Measurement of Unwrapped Three-dimensional Fingerprints: a Neural Networks Approach", in 2012 International Joint Conference on Neural Networks (IJCNN 2012), pp. 1123-1130, 2012 R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Fast 3-D Fingertip Reconstruction Using a Single Two-View Structured Light Acquisition", in IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, pp. 1-8, 2011 R. Donida Labati, V. Piuri, and F. Scotti, "A neural-based minutiae pair identification method for touchless fingeprint images", in 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM), pp. 96-102, April, 2011 R. Donida Labati, V. Piuri, and F. Scotti, "Neural-based Quality Measurement of Fingerprint Images in Contactless Biometric Systems", in The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1-8, July 18-23, 2010 R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Measurement of the Principal Singular Point in Contact and Contactless Fingerprint Images by using Computational Intelligence Techniques", in 2010 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2010), pp. 18-23, 2010 40

References (4) Iris R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Iris segmentation: state of the art and innovative methods", in Cross Disciplinary Biometric Systems, C. Liu, and V.K. Mago (eds.), Springer, pp. 151-182, 2012 H. Proença, "Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength", IEEE Transactions on Information Forensics and Security,vol.6, no.1, pp.82-95, March 2011. Yung-hui Li, M. Savvides,"Iris Recognition, Overview", in Encyclopedia of Biometrics.S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 810 819, 2009. K.W. Bowyer, K. Hollingsworth and P.J. Flynn, Image understanding for iris biometrics: a survey, Computer Vision and Image Understanding, vol. 110, pp. 281-307, 2008. J. Daugman, "New Methods in Iris Recognition", IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.37, no.5, pp.1167-1175, October 2007. V. Piuri, and F. Scotti, "Adaptive Reflection Detection and Location in Iris Biometric Images by Using Computational Intelligence Techniques", in IEEE Transactions of Instrumentation and Measurement, pp.1825-1833, July 2010. R. Donida Labati, and F. Scotti, "Noisy iris segmentation with boundary regularization and reflections removal", in Image and Vision Computing, Iris Images Segmentation Special Issue, Elsevier, pp. 270-277, February 2010. R. Donida Labati, V. Piuri, and F. Scotti, "Neural-based Iterative Approach for Iris Detection in Iris recognition systems", in IEEE Symposium on Computational Intelligence for Security and Defence Applications, pp. 1-6, December 18, 2009. R. Donida Labati, V. Piuri, and F. Scotti, "Agent-Based Image Iris Segmentation and Multiple Views Boundary Refining", in IEEE Third International Conference on Biometrics: Theory, Applications and Systems, pp. 1-7, November 20, 2009. 41

References (5) Face Yun Fu, GuodongGuo, T. S. Huang, "Age Synthesis and Estimation via Faces: A Survey",IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, no.11, pp.1955-1976, November 2010. A. M. Martinez, "Face Recognition, Overview", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 555 559, 2009. S. Romdhani,J. Ho, T. Vetter, D. J.Kriegman, "Face Recognition Using 3-D Models: Pose and Illumination",Proceedings of the IEEE, vol.94, no.11, pp.1977-1999, November 2006. Z. Li, A. K. Jain, Handbook of Face Recognition, Springer-Verlag, 2005. W. Zhao, R. Chellappa, A. Rosenfeld, P.J. Phillips, "Face Recognition: A Literature Survey", ACM Computing Surveys, pp. 399-458S, 2003. S. S. Rakover& B. Cahlon,Face recognition: cognitive and computational processes, John Benjamins Publishing Co., Amsterdam, The Netherlands, 2001. Ear shape M.Choras, "Ear Biometrics", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 233 240, 2009. B.Bhanu, H. Chen, Human Ear Recognition by Computer (Advances in Pattern Recognition), Springer Publishing Company, Incorporated, 2008. D. J. Hurley, B. Arbab-Zavar, M. S. Nixon, The Ear as a Biometric, in: Handbook of Biometrics, pp. 131-150. A. K. Jain, P. Flynn, A. Ross,Springer -Verlag New York, Incorporated, 2007. S. M. S. Islam, M.Bennamoun, R. A. Owens, R. Davies, "Biometric Approaches of 2D-3D Ear and Face: A Survey", in Advances in Computer and Information Sciences and Engineering. Springer Netherlands, pp. 509-514, 2007. 42

References (6) Hand geometry N. Duta, "A survey of biometric technology based on hand shape", Pattern Recognition, vol. 42, n. 11, pp. 2797-2806, November 2009. N. Duta, "Hand Shape", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 682 687, 2009. R. Sanchez-Reillo, C. Sanchez-Avila, A. Gonzalez-Marcos, "Biometric identification through hand geometry measurements," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.10, pp. 1168-1171, October 2000. Palmprint & Palmvein D. Zhang, Z.Guo, G. Lu, L. Zhang, Y. Liu, W.Zuo, "Online joint palmprint and palmvein verification", Expert Systems with Applications, vol. 38, no. 3, pp. 2621-2631, March 2011. A. Kong, D. Zhang, M. Kamel, "A Survey of Palmprint Recognition", Pattern Recognition, vol. 42, no. 7, pp. 1408-1418, July 2009. M. Watanabe, " Palm Vein", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 1028 1033, 2009. D. Zhang, V. Kanhangad, " Palmprint, 3D", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 1037 1042, 2009. 43

References (7) DNA J.M. Butler, Fundamentals of Forensic DNA Typing, Elsevier Academic Press, San Diego, 2010. R. AH van Oorschot, K. N. Ballantyne, R. J. Mitchell, "Forensic trace DNA: a review", Investigative Genetics, pp. 1 14, 2010. T. Hicks, R. Coquoz, " Forensic DNA Evidence", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 573 579, 2009. P. M. Vallone, C. R. Hill, J. M. Butler, "Demonstration of rapid multiplex PCR amplification involving 16 genetic loci", Forensic Science International: Genetics, vol. 3, no. 1, pp. 42-45, December 2008. 44

References (8) Voice H. Beigi, Fundamentals of Speaker Recognition, Springer-Verlag New York Inc., January 2011. J. Markowitz, "Speaker Recognition, Standardization", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 1270 1277, 2009. J. Benesty, M. MohanSondhi, Y Huang, Springer Handbook of Speech Processing, Springer- Verlag, January 2008. R. D. Peacocke, D. H. Graf, "An introduction to speech and speaker recognition",computer, vol.23, no.8, pp.26-33, August 1990. Gait M. Goffredo, I.Bouchrika, J. N. Carter, M. S. Nixon, "Self-Calibrating View-Invariant Gait Biometrics",IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, vol.40, no.4, pp.997-1008, August 2010. R.Chellappa, A.Veeraraghavan, N.Ramanathan, "Gait Biometrics, Overview", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 628 633, 2009. M.S.Nixon, J. N. Carter, "Automatic Recognition by Gait," Proceedings of the IEEE, vol.94, no.11, pp.2013-2024, November 2006. N.V. Boulgouris, D. Hatzinakos, K.N. Plataniotis, "Gait recognition: a challenging signal processing technology for biometric identification",ieee Signal Processing Magazine, vol.22, no.6, pp. 78-90, November 2005. 45

References (9) Signature & hand writing V. A. Bharadi, H. B. Kekre, "Off-Line Signature Recognition Systems", International Journal of Computer Applications vol. 1, no. 27, pp. 48 56, February 2010. O. Henniger, D. Muramatsu, T. Matsumoto, I. Yoshimura, M. Yoshimura, " Signature Recognition", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 1196 1205, 2009. D. Impedovo, G. Pirlo, "Automatic Signature Verification: The State of the Art", IEEE Transactions onsystems, Man, and Cybernetics, Part C: Applications and Reviews, vol.38, no.5, pp.609-635, September 2008. Keystroke N.Bartlow, "Keystroke Recognition", in Encyclopedia of Biometrics. S. Z. Li and A. K. Jain, Springer Publishing Company, Incorporated, pp. 877 882, 2009. D. Shanmugapriya, "A survey of biometric keystroke dynamics: approaches, security and challenges", International Journal of Computer Science and Information Security, vol. 5, pp. 115 119, September 2009. Enzhe Yu, Sungzoon Cho, "Keystroke dynamics identity verification - its problems and practical solutions", Computers & Security, vol. 23, no. 5, pp. 428-440, July 2004. Weight R. Donida Labati, A. Genovese, V. Piuri, and F. Scotti, "Weight Estimation from Frame Sequences Using Computational Intelligence Techniques", 2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2012), pp. 29-34, 2012 46

References (10) Biometric Privacy M. Upmanyu, A. Namboodiri, K. Srinathan, and C. Jawahar, "Blind authentication: A secure crypto-biometric verification protocol", Information Forensics and Security, IEEE Transactions on, vol. 5, no. 2, pp. 255 268, June2010. J. Golic, M. Baltatu, Entropy analysis and new constructions of biometric key generation systems, IEEE Transactions on Information Theory,vol. 54, no. 5,pp. 2026 2040, 2008. A. K. Jain, K. Nandakumar, A. Nagar, "Biometric template security",eurasip Journal on Advances Signal Processing, vol. 2008, pp. 1-17, 2008. Y. Dodis, R. Ostrovsky, L. Reyzin, and A. Smith, "Fuzzy extractors: How to generate strong keys from biometrics and other noisy data", SIAM Journal on Computing, vol. 38, no. 1, pp. 97 139, 2008. N. K. Ratha, S. Chikkerur, J. H. Connell, and R. M. Bolle, "Generating cancelable fingerprint templates", IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 29, no. 4, pp. 561 572, 2007. A. Teoh, A. Goh, and D. Ngo, "Randommultispace quantization as an analyticmechanismforbiohashing of biometric and random identity inputs", IEEE Transactions onpattern Analysis and Machine Intelligence, vol. 28, no. 12, pp. 1892 1901, December 2006. M. Barni, T. Bianchi, D. Catalano, M. Di Raimondo, R. DonidaLabati, P. Failla, D. Fiore, R. Lazzeretti, V. Piuri, F. Scotti, and A. Piva, "A Privacy-compliant Fingerprint Recognition System Based on Homomorphic Encryption and Fingercode Templates", in 2010 Fourth IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS), pp. 1-7, September 27-29, 2010. 47

References (11) Biometric Privacy (cont s) M. Barni, T. Bianchi, D. Catalano, M. Di Raimondo, R. DonidaLabati, P. Failla, D. Fiore, R. Lazzeretti, V. Piuri, F. Scotti, and A. Piva, "Privacy-Preserving Fingercode Authentication", in Proceedings of the 12th ACM workshop on Multimedia and security, ACM, New York, NY, USA, pp. 231-240, September 9-10, 2010. T. Bianchi, R. Donida Labati, V. Piuri, A. Piva, F. Scotti, S. Turchi, "Implementing FingerCode-Based Identity Matching in the Encrypted Domain", in 2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS), pp. 15-21, September 9, 2010. S. Cimato, M. Gamassi, V. Piuri, R. Sassi, and F. Scotti, "Privacy in Biometrics", in Biometrics: Theory, Methods, and Applications, Wiley-IEEE Press, 2008. S. Cimato, M. Gamassi, V. Piuri, R. Sassi, and F. Scotti, "Privacy-Aware Biometrics: Design and Implementation of a Multimodal Verification System", in Annual Computer Security Applications Conference, 2008. ACSAC 2008, pp. 130-139, December, 2008 S. Cimato, M. Gamassi, V. Piuri, R. Sassi, and F. Scotti, "A Multi-Biometric Verification System for the Privacy Protection of Iris Templates", in International Workshop on Computational Intelligence in Security for Information Systems, October 23-24, 2008 S. Cimato, M. Gamassi, V. Piuri, R. Sassi, F. Cimato, and F. Scotti, "A Biometric Verification System Addressing Privacy Concerns", in Computational Intelligence and Security, 2007 International Conference on, pp. 594-598, December 2007. S. Cimato, M. Gamassi, V. Piuri, D. Sana, R. Sassi, and F. Scotti, "Personal identification and verification using multimodal biometric data", in Proceedings of the 2006 IEEE International Conference on Computational Intelligence for Homeland Security and Personal Safety, pp. 41-45, October, 2006 48